{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T04:03:57Z","timestamp":1751256237791,"version":"3.41.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,1,8]],"date-time":"2018-01-08T00:00:00Z","timestamp":1515369600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772435"],"award-info":[{"award-number":["61772435"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s00138-017-0903-x","type":"journal-article","created":{"date-parts":[[2018,1,8]],"date-time":"2018-01-08T13:48:10Z","timestamp":1515419290000},"page":"477-488","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Region-based image segmentation evaluation via perceptual pooling strategies"],"prefix":"10.1007","volume":"29","author":[{"given":"Bo","family":"Peng","sequence":"first","affiliation":[]},{"given":"Macmillan","family":"Simfukwe","sequence":"additional","affiliation":[]},{"given":"Tianrui","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,1,8]]},"reference":[{"issue":"5","key":"903_CR1","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C.C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898\u2013916 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"903_CR2","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1016\/S0167-8655(98)00052-X","volume":"19","author":"M Borsotti","year":"1998","unstructured":"Borsotti, M., Campadelli, P., Schettini, R.: Quantitative evaluation of color image segmentation results. Pattern Recognit. Lett. 19(8), 741\u2013747 (1998)","journal-title":"Pattern Recognit. Lett."},{"issue":"3","key":"903_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1167\/9.3.5","volume":"9","author":"N Bruce","year":"2009","unstructured":"Bruce, N., Tsotsos, J.: Saliency, attention, and visual search: an information theoretic approach. J. Vis. 9(3), 1\u201324 (2009)","journal-title":"J. Vis."},{"issue":"7","key":"903_CR4","doi-asserted-by":"crossref","first-page":"1706","DOI":"10.1109\/TIP.2010.2045164","volume":"19","author":"P Chen","year":"2010","unstructured":"Chen, P., Krim, H., Mendoza, O.: Multiphase joint segmentation\u2013registration and object tracking for layered images. IEEE Trans. Image Process. 19(7), 1706\u20131719 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"903_CR5","doi-asserted-by":"crossref","DOI":"10.1142\/4965","volume-title":"Empirical Evaluation Methods in Computer Vision","author":"H Christensen","year":"2002","unstructured":"Christensen, H., Phillips, P.: Empirical Evaluation Methods in Computer Vision. World Scientific Publishing Company, Singapore (2002)"},{"key":"903_CR6","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comanicu","year":"2002","unstructured":"Comanicu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24, 603\u2013619 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"903_CR7","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"P Felzenszwalb","year":"2004","unstructured":"Felzenszwalb, P., Huttenlocher, D.: Efficient graph based image segmentation. Int. J. Comput. Vis. 59(2), 167\u2013181 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"903_CR8","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/TPAMI.2011.146","volume":"34","author":"X Hou","year":"2012","unstructured":"Hou, X., Harel, J., Koch, C.: Image signature: highlighting sparse salient regions. IEEE Trans. Pattern Anal. Mach. Intell. 34(1), 194\u2013201 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"903_CR9","doi-asserted-by":"crossref","unstructured":"Hou, X., Zhang, L.: Saliency detection: a spectral residual approach. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2336\u20132343 (2007)","DOI":"10.1109\/CVPR.2007.383267"},{"issue":"11","key":"903_CR10","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1109\/34.730558","volume":"20","author":"L Itti","year":"1998","unstructured":"Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(11), 1254\u20131259 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"903_CR11","first-page":"209","volume":"2006","author":"X Jiang","year":"2006","unstructured":"Jiang, X., Marti, C., Irniger, C., Bunke, H.: Distance measures for image segmentation evaluation. EURASIP J. Appl. Signal Process. 2006, 209 (2006)","journal-title":"EURASIP J. Appl. Signal Process."},{"key":"903_CR12","doi-asserted-by":"crossref","unstructured":"Kanungo, T., Dom, B., Niblack, W., Steele, D.: A fast algorithm for mdl-based multi-band image segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 609\u2013616 (1994)","DOI":"10.1109\/CVPR.1994.323792"},{"key":"903_CR13","unstructured":"Martin, D.: An empirical approach to grouping and segmentation. Ph.D. thesis, EECS Department, University of California, Berkeley (2002)"},{"key":"903_CR14","doi-asserted-by":"crossref","unstructured":"Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: IEEE International Conference on Computer Vision, pp. 416\u2013424 (2001)","DOI":"10.1109\/ICCV.2001.937655"},{"key":"903_CR15","doi-asserted-by":"crossref","unstructured":"Meila, M.: Comparing clusterings: an axiomatic view. In: International Conference on Machine Learning, pp. 577\u2013584 (2005)","DOI":"10.1145\/1102351.1102424"},{"issue":"2","key":"903_CR16","first-page":"193","volume":"3","author":"AK Moorthy","year":"2009","unstructured":"Moorthy, A.K., Bovik, A.C.: Visual importance pooling for image quality assessment. IEEE J. Image Inf. Vis. Qual. 3(2), 193\u2013C201 (2009)","journal-title":"IEEE J. Image Inf. Vis. Qual."},{"key":"903_CR17","doi-asserted-by":"crossref","unstructured":"Pantofaru, C., Schmid, C., Hebert, M.: Object recognition by integrating multiple image segmentations. In: European Conference on Computer Vision, pp. 481\u2013494 (2008)","DOI":"10.1007\/978-3-540-88690-7_36"},{"key":"903_CR18","doi-asserted-by":"crossref","unstructured":"Peng, B., Simfukwe, M., Yang, Y., Li., T.: Perceptual pooling strategies for image segmentation quality evaluation. In: The 12th conference on uncertainty modeling in knowledge engineering and decision making (FLINS), pp. 918\u2013923 (2016)","DOI":"10.1142\/9789813146976_0142"},{"key":"903_CR19","doi-asserted-by":"crossref","unstructured":"Peng, B., Veksler, O.: Parameter selection for graph cut based image segmentation. In: British Machine Vision Conference, pp. 153\u2013162 (2008)","DOI":"10.5244\/C.22.16"},{"key":"903_CR20","doi-asserted-by":"crossref","unstructured":"Pont-Tuset, J., Marques, F.: Measures and meta-measures for the supervised evaluation of image segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2131\u20132138 (2013)","DOI":"10.1109\/CVPR.2013.277"},{"key":"903_CR21","doi-asserted-by":"crossref","unstructured":"Rao, S., Mobahi, H., Yang, A., Sastry, S., Ma, Y.: Natural image segmentation with adaptive texture and boundary encoding. In: Asian Conference of Computer Vision, pp. 135\u2013146 (2009)","DOI":"10.1007\/978-3-642-12307-8_13"},{"key":"903_CR22","doi-asserted-by":"crossref","unstructured":"Ren, X., Malik, J.: Learning a classification model for segmentation. In: IEEE International Conference on Computer Vision, pp. 10\u201317 (2003)","DOI":"10.1109\/ICCV.2003.1238308"},{"issue":"1","key":"903_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.media.2014.10.012","volume":"20","author":"E Smistad","year":"2015","unstructured":"Smistad, E., Falch, T., Bozorgi, M., Elster, A., Lindseth, F.: Medical image segmentation on gpus\u2014a comprehensive review. Med. Image Anal. 20(1), 1\u201318 (2015)","journal-title":"Med. Image Anal."},{"issue":"9","key":"903_CR24","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1109\/LSP.2014.2323407","volume":"21","author":"N Tong","year":"2014","unstructured":"Tong, N., Lu, H., Zhang, L., Ruan, X.: Saliency detection with multi-scale superpixels. IEEE Signal Process. Lett. 21(9), 1035\u20131039 (2014)","journal-title":"IEEE Signal Process. Lett."},{"issue":"6","key":"903_CR25","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1109\/TPAMI.2007.1046","volume":"29","author":"R Unnikrishnan","year":"2007","unstructured":"Unnikrishnan, R., Pantofaru, C., Hebert, M.: Toward objective evaluation of image segmentation algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 929\u2013944 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"903_CR26","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-02238-8","volume-title":"Modern Image Quality Assessment","author":"Z Wang","year":"2006","unstructured":"Wang, Z., Bovik, A.: Modern Image Quality Assessment. Morgan and Claypool Publishing Company, New York (2006)"},{"issue":"2","key":"903_CR27","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.cviu.2007.07.005","volume":"11","author":"A Yang","year":"2008","unstructured":"Yang, A., Wright, J., Ma, Y., Sastry, S.: Unsupervised segmentation of natural images via lossy data compression. Comput. Vis. Image Underst. 11(2), 212\u2013225 (2008)","journal-title":"Comput. Vis. Image Underst."},{"key":"903_CR28","doi-asserted-by":"crossref","unstructured":"Yang, C., Zhang, L., Lu, H., Ruan, X., Yan, M.: Saliency detection via graph-based manifold ranking. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3166\u20133173 (2013)","DOI":"10.1109\/CVPR.2013.407"},{"key":"903_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, H., Fritts, J., Goldman, S.: An entropy-based objective segmentation evaluation method for image segmentation. In: SPIE Sotrage and Retrieval Methods and Applicaitons for Multimedia, pp. 38\u201349 (2004)","DOI":"10.1117\/12.527167"},{"key":"903_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, H., Fritts, J., Goldman, S.: A co-evaluation framework for improving segmentation evaluation. In: SPIE Signal Processing and Target Recognition, pp. 420\u2013430 (2005)","DOI":"10.1117\/12.604213"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00138-017-0903-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-017-0903-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-017-0903-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T13:49:46Z","timestamp":1751204986000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00138-017-0903-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,8]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["903"],"URL":"https:\/\/doi.org\/10.1007\/s00138-017-0903-x","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"type":"print","value":"0932-8092"},{"type":"electronic","value":"1432-1769"}],"subject":[],"published":{"date-parts":[[2018,1,8]]}}}